IDEAS home Printed from https://ideas.repec.org/p/has/bworkp/0507.html
   My bibliography  Save this paper

Comparative analysis of the returns to education in Germany and Hungary (2000)

Author

Listed:
  • Szilvia Hamori

    (Center for Doctoral Studies in Economics & Management of the Univeristy of Mannheim)

Abstract

In this study standard Mincer earnings equations are estimated using both ordinary least squares (OLS) and quantile regression in order to give a comprehensive picture of the returns to education in Germany and Hungary for the year 2000. To make the cross-country comparison of the returns to education informative, six differentiated categories for formal education, rather than years of schooling, are generated and used in the empirical analysis. Moreover, the returns to three and eight field of study groups for Germany and Hungary respectively are estimated in order to shed more light on the valuation of specific university degree. Most importantly, the empirical results provide evidence for the fact that the OLS estimate is not an accurate estimate of the return to education for the population (more specifically for the selected samples). That is, the estimates of the quantile regressions point to the fact that differences in returns to education within educational groups contribute significantly to aggregate earnings inequality, especially in Hungary.

Suggested Citation

  • Szilvia Hamori, 2005. "Comparative analysis of the returns to education in Germany and Hungary (2000)," Budapest Working Papers on the Labour Market 0507, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:bworkp:0507
    as

    Download full text from publisher

    File URL: http://www.econ.core.hu/doc/bwp/bwp/bwp0507.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alan B. Krueger & Jorn-Steffen Pischke, 1995. "A Comparative Analysis of East and West German Labor Markets: Before and After Unification," NBER Chapters, in: Differences and Changes in Wage Structures, pages 405-446, National Bureau of Economic Research, Inc.
    2. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    3. Katharine G. Abraham & Susan Houseman, 1995. "Earnings Inequality in Germany," NBER Chapters, in: Differences and Changes in Wage Structures, pages 371-404, National Bureau of Economic Research, Inc.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    5. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    6. Reinhard Hujer & Bernd Fitzenberger & Reinhold Schnabel & Thomas E. MaCurdy, 2001. "Testing for uniform wage trends in West-Germany: A cohort analysis using quantile regressions for censored data," Empirical Economics, Springer, vol. 26(1), pages 41-86.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. Orazem, Peter F. & Vodopivec, Milan, 1997. "Value of human capital in transition to market: Evidence from Slovenia," European Economic Review, Elsevier, vol. 41(3-5), pages 893-903, April.
    9. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    10. Arpad Abraham & Gabor Kezdi, 2000. "Long-run trends in earnings and employment in Hungary, 1972-1996," Budapest Working Papers on the Labour Market 0002, Institute of Economics, Centre for Economic and Regional Studies.
    11. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    12. Peter Galasi, 2003. "Estimating wage equations for Hungarian higher-education graduates," Budapest Working Papers on the Labour Market 0304, Institute of Economics, Centre for Economic and Regional Studies.
    13. Karoly Fazekas & Jeno Koltay (ed.), 2002. "The Hungarian Labour Market 2002," The Hungarian Labour Market Yearbooks, Institute of Economics, Centre for Economic and Regional Studies, number 2002, December.
    14. Freeman, Richard B. & Katz, Lawrence F. (ed.), 1995. "Differences and Changes in Wage Structures," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226261607.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    2. Bruce Chapman & Mark Rodrigues & Chris Ryan, 2007. "HECS for TAFE: The case for extending income contingent loans," Treasury Working Papers 2007-02, The Treasury, Australian Government, revised Apr 2007.
    3. Stacy, Brian, 2014. "Left with Bias? Quantile Regression with Measurement Error in Left Hand Side Variables," EconStor Preprints 104744, ZBW - Leibniz Information Centre for Economics.
    4. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    5. Tushar Agrawal, 2011. "Returns to education in India: Some recent evidence," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-017, Indira Gandhi Institute of Development Research, Mumbai, India.
    6. Gounder, Rukmani & Xing, Zhongwei, 2012. "Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji," Economic Modelling, Elsevier, vol. 29(3), pages 787-794.
    7. Corrado Andini, 2010. "A dynamic Mincer equation with an application to Portuguese data," Applied Economics, Taylor & Francis Journals, vol. 42(16), pages 2091-2098.
    8. Zheng Fang & Chris Sakellariou, 2011. "A Case of Sticky Floors: Gender Wage Differentials in Thailand," Asian Economic Journal, East Asian Economic Association, vol. 25(1), pages 35-54, March.
    9. Tito Boeri & Katherine Terrell, 2002. "Institutional Determinants of Labor Reallocation in Transition," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 51-76, Winter.
    10. Jaromír Gottvald, 2003. "Determinanty mezd zaměstnanců v podnicích v České republice a Slovenské republice [Determinants of individual wages in the Czech republic and Slovak republic firms]," Politická ekonomie, Prague University of Economics and Business, vol. 2003(4), pages 541-563.
    11. Ingo Geishecker & Holger Görg, 2003. "Winners and Losers: Fragmentation, Trade and Wages Revisited," Discussion Papers of DIW Berlin 385, DIW Berlin, German Institute for Economic Research.
    12. Anuneeta Mitra, 2016. "Education and earning linkages of regular and casual workers in India: a quantile regression approach," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 18(1), pages 147-174, October.
    13. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    14. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    15. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    16. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    17. Maria Manuel Campos & Hugo Reis, 2018. "Returns to schooling in the Portuguese economy: a reassessment," Public Sector Economics, Institute of Public Finance, vol. 42(2), pages 215-242.
    18. Pham, Thai-Hung & Reilly, Barry, 2007. "The gender pay gap in Vietnam, 1993-2002: A quantile regression approach," Journal of Asian Economics, Elsevier, vol. 18(5), pages 775-808, October.
    19. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    20. Verner, Dorte, 2008. "Making poor Haitians count--poverty in rural and urban Haiti based on the first household survey for Haiti," Policy Research Working Paper Series 4571, The World Bank.

    More about this item

    Keywords

    Quantile regression; education systems; return to education; between-educational-levels earnings inequality; within-educational-levels earnings inequality;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:has:bworkp:0507. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nora Horvath (email available below). General contact details of provider: https://edirc.repec.org/data/iehashu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.